54 citations · 71 across the 7 of their papers we have counts for
7 papers
A Knowledge-Driven LLM-Based Decision-Support System for Explainable Defect Analysis and Mitigation Guidance in Laser Powder Bed Fusion
Basit Mahmud Shahriar, Md Habibor Rahman
This work presents a knowledge-driven decision-support system that integrates structured defect knowledge with LLM-based reasoning to provide explainable defect diagnosis and mitig…
Reverse Engineering of Additively Manufactured Parts: Integrating 3D Scanning and Simulation-Driven Distortion Compensation
Jannatul Bushra, Md Habibor Rahman, Mohammed Shafae +1
Reverse engineering can be used to derive a 3D model of an existing physical part when such a model is not readily available. For parts that will be fabricated with subtractive and…
Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing -- A Defense-in-Depth Driven Framework and Taxonomy
Md Habibor Rahman, Mohammed Shafae
The increasing cybersecurity threats to critical manufacturing infrastructure necessitate proactive strategies for vulnerability identification, classification, and assessment. Tra…
Taxonomy for Cybersecurity Threat Attributes and Countermeasures in Smart Manufacturing Systems
Md Habibor Rahman, Rocco Cassandro, Thorsten Wuest +1
An attack taxonomy offers a consistent and structured classification scheme to systematically understand, identify, and classify cybersecurity threat attributes. However, existing…
Graph-Theoretic Approach for Manufacturing Cybersecurity Risk Modeling and Assessment
Md Habibor Rahman, Erfan Yazdandoost Hamedani, Young-Jun Son +1
Identifying, analyzing, and evaluating cybersecurity risks are essential to assess the vulnerabilities of modern manufacturing infrastructures and to devise effective decision-maki…
Review, Meta-Taxonomy, and Use Cases of Cyberattack Taxonomies of Manufacturing Cybersecurity Threat Attributes and Countermeasures
Md Habibor Rahman, Thorsten Wuest, Mohammed Shafae
A thorough and systematic understanding of different elements of cyberattacks is essential for developing the necessary tools to prevent, detect, diagnose, and mitigate cyberattack…
Predictive process mining by network of classifiers and clusterers: the PEDF model
Amir Mohammad Esmaieeli Sikaroudi, Md Habibor Rahman
In this research, a model is proposed to learn from event log and predict future events of a system. The proposed PEDF model learns based on events' sequences, durations, and extra…